{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,25]],"date-time":"2024-08-25T15:25:28Z","timestamp":1724599528838},"reference-count":37,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,12,12]],"date-time":"2021-12-12T00:00:00Z","timestamp":1639267200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012190","name":"Ministry of Science and Higher Education of the Russian Federation","doi-asserted-by":"publisher","award":["0714-2020-0006"],"id":[{"id":"10.13039\/501100012190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"Alterations in cell metabolism, including changes in lipid composition occurring during malignancy, are well characterized for various tumor types. However, a significant part of studies that deal with brain tumors have been performed using cell cultures and animal models. Here, we present a dataset of 124 high-resolution negative ionization mode lipid profiles of human brain tumors resected during neurosurgery. The dataset is supplemented with 38 non-tumor pathological brain tissue samples resected during elective surgery. The change in lipid composition alterations of brain tumors enables the possibility of discriminating between malignant and healthy tissues with the implementation of ambient mass spectrometry. On the other hand, the collection of clinical samples allows the comparison of the metabolism alteration patterns in animal models or in vitro models with natural tumor samples ex vivo. The presented dataset is intended to be a data sample for bioinformaticians to test various data analysis techniques with ambient mass spectrometry profiles, or to be a source of clinically relevant data for lipidomic research in oncology.<\/jats:p>","DOI":"10.3390\/data6120132","type":"journal-article","created":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T06:28:11Z","timestamp":1639376891000},"page":"132","source":"Crossref","is-referenced-by-count":5,"title":["Lipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry"],"prefix":"10.3390","volume":"6","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-5469-216X","authenticated-orcid":false,"given":"Denis S.","family":"Zavorotnyuk","sequence":"first","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9622-3457","authenticated-orcid":false,"given":"Stanislav I.","family":"Pekov","sequence":"additional","affiliation":[{"name":"Skolkovo Institute of Science and Technology, 121205 Moscow, Russia"}]},{"given":"Anatoly A.","family":"Sorokin","sequence":"additional","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"},{"name":"Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L69 7ZX, UK"}]},{"given":"Denis S.","family":"Bormotov","sequence":"additional","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6969-7350","authenticated-orcid":false,"given":"Nikita","family":"Levin","sequence":"additional","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"}]},{"given":"Evgeny","family":"Zhvansky","sequence":"additional","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"}]},{"given":"Savva","family":"Semenov","sequence":"additional","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6513-8009","authenticated-orcid":false,"given":"Polina","family":"Strelnikova","sequence":"additional","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"},{"name":"Emanuel Institute of Biochemical Physics, Russian Academy of Science, 119334 Moscow, Russia"}]},{"given":"Konstantin V.","family":"Bocharov","sequence":"additional","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"},{"name":"V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Center of Chemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4048-8488","authenticated-orcid":false,"given":"Alexander","family":"Vorobiev","sequence":"additional","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"}]},{"given":"Alexey","family":"Kononikhin","sequence":"additional","affiliation":[{"name":"Skolkovo Institute of Science and Technology, 121205 Moscow, Russia"}]},{"given":"Vsevolod","family":"Shurkhay","sequence":"additional","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"},{"name":"N.N. Burdenko National Scientific and Practical Center for Neurosurgery, 125047 Moscow, Russia"}]},{"given":"Eugene N.","family":"Nikolaev","sequence":"additional","affiliation":[{"name":"Skolkovo Institute of Science and Technology, 121205 Moscow, Russia"}]},{"given":"Igor A.","family":"Popov","sequence":"additional","affiliation":[{"name":"Moscow Institute of Physics and Technology, 141701 Moscow, Russia"},{"name":"National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov, Healthcare of Russian Federation, 117997 Moscow, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.2174\/1568026619666190729154543","article-title":"Untangling the Metabolic Reprogramming in Brain Cancer: Discovering Key Molecular Players Using Mass Spectrometry","volume":"19","author":"Sorokin","year":"2019","journal-title":"Curr. Top. Med. 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